Senior Robotics Data Annotation Specialist

RemoExperts; Schweiz; Remote; CHF 62,000 - 90,000; Full time

Benefits offered by this job

Fully remote

Flexible work types

Remote collaboration with global teams

Job summary

Rex.zone is seeking a Senior Robotics Data Annotation Specialist based in Switzerland for a remote, full-time position. You will lead computer vision annotation and spatial data labeling projects, collaborating with top AI labs to ensure strict annotation guidelines and high-quality training data for autonomous systems.

Key tasks include 2D/3D bounding box annotations, semantic segmentation, RLHF, and QA evaluation to drive model performance.

Qualifications

• Experience with computer vision annotation and RLHF.
• Proven track record in QA evaluation and model performance improvement.
• Familiarity with LiDAR and sensor fusion data.

Responsibilities

• Perform 2D/3D bounding box annotation and semantic segmentation.
• QA evaluation of spatial datasets and data quality control.
• Collaborate with AI labs to evaluate evaluation pipelines.

Skills

Computer Vision

LiDAR Data

RLHF

QA Evaluation

Tools

Annotation Tools

Job description

Discover premier full-time and freelance Robotics Annotation Jobs in Switzerland on Rex.zone. As a data labeling expert, you will power AI training pipelines for autonomous systems, robotic process automation, and computer vision models. This remote role involves precise computer vision annotation, spatial data labeling, and RLHF (Reinforcement Learning from Human Feedback) to improve model performance. Whether you are seeking entry-level, contract, or senior opportunities with top AI labs and tech startups, Rex.zone connects you with high-impact machine learning workflows. Join our global network to ensure training data quality and shape the future of robotics.

Senior Robotics Data Annotation Specialist

Are you passionate about advancing autonomous systems? We are hiring a remote Senior Robotics Data Annotation Specialist based in Switzerland to lead computer vision annotation and spatial data labeling projects. In this full-time role, you will collaborate with leading AI labs to evaluate large language model evaluation pipelines and ensure strict annotation guidelines compliance. Your work directly contributes to model performance improvement for next-generation robotics.

Core Responsibilities In Robotics AI/ML Training

As a key contributor to our AI/ML training pipelines, your daily tasks will involve complex data labeling for robotic systems. You will perform 2D/3D bounding box annotation, semantic segmentation for computer vision, and QA evaluation of spatial datasets. Additionally, you will engage in RLHF and prompt evaluation to refine human-robot interaction models. Ensuring training data quality is paramount, requiring meticulous attention to detail and adherence to complex annotation guidelines.

Required Skills For Robotics Data Labeling Experts

Ideal candidates for these remote robotics annotation jobs possess a strong background in computer vision annotation, named entity recognition, and content safety labeling. Experience with LiDAR, sensor fusion data, and LLM training pipelines is highly valued. Whether you are looking for freelance, contract, or full-time remote opportunities, you must demonstrate a proven track record in QA evaluation and model performance improvement within the technology and engineering sectors.

Frequently Asked Questions About Robotics Annotation Jobs In Switzerland

What does a robotics data annotation specialist do?

A robotics data annotation specialist labels and categorizes visual, spatial, and sensor data (like LiDAR and 3D bounding boxes) to train machine learning models for autonomous robots. This includes computer vision annotation, RLHF, and QA evaluation to ensure high training data quality.

Are these robotics annotation roles fully remote?

Yes, the robotics annotation jobs featured on Rex.zone are fully remote, allowing professionals in Switzerland to work flexibly. We offer various employment types, including full-time, part-time, freelance, and contract positions.

What skills are required for AI data labeling in robotics?

Key skills include computer vision annotation, spatial awareness, attention to detail, and familiarity with AI/ML training pipelines. Experience in RLHF, semantic segmentation, and large language model evaluation is highly beneficial for mid-senior engineering roles.